Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation
EMNLP 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
NeurIPS 2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
EMNLP 2022
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems
Interspeech 2022
Toolbox for Multimodal Learn (scikit-multimodallearn)
JMLR 2022
Top-Down Deep Clustering with Multi-Generator GANs
AAAI 2022
Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset
EMNLP 2022
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction
CVPR 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
To Smooth or Not? When Label Smoothing Meets Noisy Labels
ICML 2022
Touch and Go: Learning from Human-Collected Vision and Touch
NeurIPS 2022
Toward a realistic model of speech processing in the brain with self-supervised learning
NeurIPS 2022
Toward Efficient Robust Training against Union of ℓ_p Threat Models
NeurIPS 2022
Toward Physically Realizable Quantum Neural Networks
AAAI 2022
Toward Practical Monocular Indoor Depth Estimation
CVPR 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
Towards Abstractive Grounded Summarization of Podcast Transcripts
ACL 2022
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints
AAAI 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples
ACL 2022
Towards Arabic Sentence Simplification via Classification and Generative Approaches
EMNLP 2022
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
AAAI 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
EMNLP 2022
Towards a Unified View of Parameter-Efficient Transfer Learning
ICLR 2022
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
CVPR 2022
Towards Cross-Domain Transferability of Text Generation Models for Legal Text
EMNLP 2022